(30.,7.0,"planckGrad",2,3000,2,3000)]:
noiseTX = noiseX
noisePX = np.sqrt(2.) * noiseTX
noiseTY = noiseY
noisePY = np.sqrt(2.) * noiseTY
kmax = getMax(polComb, tellmaxY, pellmaxY)
i += 1
print((i, tellmaxY, pellmaxY, kmax, "delens:",
delensTolerance))
bin_edges = np.arange(kmin, kmax, dell) + dell
myNls.updateBins(bin_edges)
myNls.updateNoise(beamX,noiseTX,noisePX,tellminX,tellmaxX, \
pellminX,pellmaxX,beamY=beamY,noiseTY=noiseTY, \
noisePY=noisePY,tellminY=tellminY,tellmaxY=tellmaxY, \
pellminY=pellminY,pellmaxY=pellmaxY)
ls, Nls = myNls.getNl(polComb=polComb, halo=halo)
fileName = saveRoot + getFileNameString([
'gradCut', 'polComb', 'beamY', 'noiseY', 'grad',
'tellminY', 'pellminY', 'tellmaxY', 'pellmaxY', 'kmin',
'deg', 'px'
], [
gradCut, polComb, beamY, noiseY, lab, tellminY,
pellminY, tellmaxY, pellmaxY, kmin, deg, px
]) + ".txt"
np.savetxt(fileName, np.vstack((ls, Nls)).transpose())
if (polComb == 'EB' or polComb
overdensity = 500.
critical = True
atClusterZ = True
kellmax = 8000
outDir = "/gpfs01/astro/www/msyriac/plots/"
for beam in beamrange:
beamX = beam
beamY = beam
print beam
myNls.updateNoise(beamX,
noiseTX,
noisePX,
tellmin,
tellmax,
pellmin,
pellmax,
beamY=beamY,
noiseTY=noiseTY,
noisePY=noisePY)
ls, Nls = myNls.getNl(polComb=polComb, halo=halo)
#ls,Nls = np.loadtxt("../SZ_filter/data/LA_pol_Nl.txt",unpack=True,delimiter=',')
sn, kappa = NFWMatchedFilterSN(cc,
Mexp,
c,
z,
ells=ls,
Nls=Nls,
kellmax=kellmax,
myNls = NlGenerator(lmap, theory, gradCut=gradCut)
kmax = getMax(polComb, tellmaxY, pellmaxY)
bin_edges = np.arange(kmin, kmax, dell) + dell
myNls.updateBins(bin_edges)
if swap:
tempB = beamY
beamY = beamX
beamX = tempB
nTX,nPX,nTY,nPY = myNls.updateNoise(beamX,noiseTX,noisePX,tellminX,tellmaxX, \
pellminX,pellmaxX,beamY=beamY,noiseTY=noiseTY, \
noisePY=noisePY,tellminY=tellminY,tellmaxY=tellmaxY, \
pellminY=pellminY,pellmaxY=pellmaxY,lkneesX=(lkneeTX,lkneePX), \
alphasX=(alphaTX,alphaPX), \
lkneesY=(lkneeTY,lkneePY),alphasY=(alphaTY,alphaPY))
if polComb == 'EB' and delens:
ls, Nls, efficiency = myNls.iterativeDelens(
polComb, delensTolerance, halo)
print "percentage efficiency ", efficiency, " %"
else:
ls, Nls = myNls.getNl(polComb=polComb, halo=halo)
pl.add(ls, Nls, label=str(beamX))
#pl.add(myNls.N.cents,myNls.N.wxy,label=str(beamX))
LF = LensForecast()
LF.loadKK(frange, Clkk, ls, Nls)
pellmin = 2
pellmax = 3000
deg = 10.
px = 0.5
arc = deg*60.
bin_edges = np.arange(10,3000,10)
#theory = loadTheorySpectraFromCAMB(cambRoot,unlensedEqualsLensed=False,useTotal=False,lpad=9000)
lmap = lm.makeEmptyCEATemplate(raSizeDeg=arc/60., decSizeDeg=arc/60.,pixScaleXarcmin=px,pixScaleYarcmin=px)
print lmap.data.shape
myNls = NlGenerator(lmap,theory,bin_edges,gradCut=gradCut)
myNls.updateNoise(beam,noiseT,noiseP,tellmin,tellmax,pellmin,pellmax)
#polCombList = ['TT','EE','ET','TE','EB','TB']
#colorList = ['red','blue','green','cyan','orange','purple']
polCombList = ['TT','EE','ET','EB','TB']
colorList = ['red','blue','green','orange','purple']
ellkk = np.arange(2,9000,1)
Clkk = theory.gCl("kk",ellkk)
pl = Plotter(scaleY='log',scaleX='log')
pl.add(ellkk,4.*Clkk/2./np.pi)
# CHECK THAT NORM MATCHES HU/OK
for polComb,col in zip(polCombList,colorList):
ls,Nls = myNls.getNl(polComb=polComb,halo=halo)
kellrange = np.arange(80.,2100.,10.)
Nlmvinv = 0.
pl = Plotter(scaleY='log')
for polComb in ['TT','TE','EE','EB']:
kmax = getMax(polComb,tellmaxY,pellmaxY)
bin_edges = np.arange(kmin,kmax,dell)+dell
lmap = lm.makeEmptyCEATemplate(raSizeDeg=deg, decSizeDeg=deg,pixScaleXarcmin=px,pixScaleYarcmin=px)
myNls = NlGenerator(lmap,theory,bin_edges,gradCut=gradCut)
myNls.updateBins(bin_edges)
nTX,nPX,nTY,nPY = myNls.updateNoise(beamX,noiseTX,noisePX,tellminX,tellmaxX, \
pellminX,pellmaxX,beamY=beamY,noiseTY=noiseTY, \
noisePY=noisePY,tellminY=tellminY,tellmaxY=tellmaxY, \
pellminY=pellminY,pellmaxY=pellmaxY,lkneesX=(lkneeTX,lkneePX),alphasX=(alphaTX,alphaPX), \
lkneesY=(lkneeTY,lkneePY),alphasY=(alphaTY,alphaPY),lxcutTX=lxcutTX, \
lxcutTY=lxcutTY,lycutTX=lycutTX,lycutTY=lycutTY, \
lxcutPX=lxcutPX,lxcutPY=lxcutPY,lycutPX=lycutPX,lycutPY=lycutPY, \
fgFileX=fgFileX,beamFileX=beamFileX,fgFileY=fgFileY,beamFileY=beamFileY )
cbinner = bin2D(myNls.N.modLMap,cmb_bin_edges)
ells, Nells = cbinner.bin(nTX)
pl = Plotter(scaleY='log')
pl.add(ells,Nells*ells**2.*TCMB**2.)
pl.add(ells,Nells*ells**2.*TCMB**2.)
tells,tnlstt = np.loadtxt('data/louisCls.dat',delimiter=',',unpack=True)
pl.add(tells,tnlstt)
pl.done("output/compnl.png")
sys.exit()
